Evidence map›Paper›PMID 9221624›Full record

ArticleSozial- und Praventivmedizin1997

[Cost-effectiveness analysis of prevention of reinfarction using low-dose acetylsalicylic acid; model calculation].

P K Schädlich, J G Brecht

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Sozial- und Praventivmedizin, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

P K SchädlichInForMed, Gesellschaft für interdisziplinäre Forschung und Beratung im Gesundheitswesen mbH, Hamburg.
J G Brecht
Sozialwissenschaftliche Forschung und Beratung · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to estimate the potential of savings which can be achieved by prophylaxis of myocardial reinfarction with low-dose acetylsalicylic acid (ASA) at 75 mg per day over a treatment period of two years. After secondary analysis of published data, the effectiveness of low-dose ASA is compared to placebo by a model calculation. The difference in the effectiveness between the prophylaxis with ASA and placebo is taken from an international meta-analysis. The economic valuation of this difference is carried out by a cost-effectiveness analysis applying disease costs per case. According to the model calculation, 5535 DM can be saved per patient with a history of myocardial infarction with 75 mg ASA a day over a treatment period of two years. In 1991 there were around 740,000 patients with a history of myocardial infarction in the age group of 25-64 in the Old Bundesländer of the Federal Republic of Germany. The application of the results of the model calculation would lead to considerable savings. Even in the sensitivity analysis with different assumptions regarding costs incurred by hospital treatment and costs incurred by premature retirement, the cost advantage of the ASA-prophylaxis remains. Due to the cautious and conservative assumptions in the model calculation the potential of savings is likely underestimated. Nevertheless, there is a distinct advantage for the prophylaxis with low-dose ASA which already occurs in direct costs thus leading to advantages also for cost carriers.

Indexed as

AdultAspirinCost-Benefit AnalysisDose-Response Relationship, DrugHumansMiddle AgedModels, EconomicMyocardial InfarctionRecurrenceAspirin

Identifiers

PMID9221624
OpenAlexW2085882320

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.